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    <h1 style="font-weight: 500">DART <img src='logo.svg' style='height: 1.3em; width: auto; vertical-align: text-top'></h1>
    <h2>Implicit Doppler Tomography for Radar Novel View Synthesis</h2>
    <div class="authors">
        <span><a href="https://tianshu.io">Tianshu Huang</a><sup>*1</sup></span>
        <span>John Miller<sup>*12</sup></span>
        <span><a href="https://akarsh-prabhakara.github.io/">Akarsh Prabhakara</a><sup>1</sup></span>
        <span><a href="https://taojin-6.github.io/">Tao Jin</a><sup>1</sup></span>
        <span><a href="https://wise.ece.cmu.edu/about.html">Tarana Laroia</a><sup>1</sup></span>
        <span><a href="https://zicokolter.com/">Zico Kolter</a><sup>12</sup></span>
        <span><a href="https://users.ece.cmu.edu/~agr/">Anthony Rowe</a><sup>12</sup></span>
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        <span><sup>*</sup>Equal Contribution</span>
        <span><sup>1</sup>Carnegie Mellon University</span>
        <span><sup>2</sup>Bosch Research</span>
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    <div class="paper-links">
        <a href="https://arxiv.org/abs/2403.03896" target="_blank">Paper</a>
        <a href="https://github.com/WiseLabCMU/dart" target="_blank">Implementation</a>
        <a href="https://github.com/WiseLabCMU/rover" target="_blank">Data Collection</a>
        <a href="https://github.com/WiseLabCMU/dart/blob/main/docs/datasets.md" target="_blank">Dataset</a>
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<b>Abstract:</b>
Simulation is an invaluable tool for radio-frequency system designers that enables rapid prototyping of various algorithms for imaging, target detection, classification, and tracking. However, simulating realistic radar scans is a challenging task that requires an accurate model of the scene, radio frequency material properties, and a corresponding radar synthesis function. Rather than specifying these models explicitly, we propose DART &mdash; Doppler Aided Radar Tomography, a Neural Radiance Field-inspired method which uses radar-specific physics to create a reflectance and transmittance-based rendering pipeline for range-Doppler images. We then evaluate DART by constructing a custom data collection platform and collecting a novel radar dataset together with accurate position and instantaneous velocity measurements from lidar-based localization. In comparison to state-of-the-art baselines, DART synthesizes superior radar range-Doppler images from novel views across all datasets and additionally can be used to generate high quality tomographic images.
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